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Intelligent trajectory tracking in autonomous plantation robots using PSO-tuned nonlinear fuzzy PID, fuzzy PID, and conventional PID controllers. [PDF]
Sci RepHailu GL, Yatayew TT.
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Virtual parking path planning in narrow roads based on fuzzy pure pursuit algorithm. [PDF]
PLoS OneMen Q +5 more
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Automation and Remote Control, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vassilyev, S. N. +6 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vassilyev, S. N. +6 more
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Hierarchical Fuzzy Controllers
IFAC Proceedings Volumes, 1995Abstract The paper presents Fuzzy Logic Controllers (FLC) with hierarchically structured rule base as nonlinear blocks used in a control system for direct control or supervision of standard controllers. Unified approach based on Fuzzy Logic Neural Networks (FLNN) is used to reveal the essential functions of a FLC.
Petr Horáček, Zdenek Binder
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Journal of Cybernetics, 1976
Abstract A fuzzy program is defined as an ordered sequence of fuzzy instructions. In the execution of a fuzzy program, fuzzy instructions are translated into machine instructions by the use of MAX-METHOD and backtracking. To show how a fuzzy program is executed, a simulation system is exploited which controls a simple inchworm robot.
Uragami, Masato +2 more
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Abstract A fuzzy program is defined as an ordered sequence of fuzzy instructions. In the execution of a fuzzy program, fuzzy instructions are translated into machine instructions by the use of MAX-METHOD and backtracking. To show how a fuzzy program is executed, a simulation system is exploited which controls a simple inchworm robot.
Uragami, Masato +2 more
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Journal of Bioscience and Bioengineering, 2000
Bioprocesses have been operated according to the judgment of experts who are skilled operators and have long experience. In almost all cases, these experiences are described by linguistic IF-THEN rules. Fuzzy inference is one of the powerful tools to incorporate linguistic rules into computational algorithms for application to process control.
H, Honda, T, Kobayashi
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Bioprocesses have been operated according to the judgment of experts who are skilled operators and have long experience. In almost all cases, these experiences are described by linguistic IF-THEN rules. Fuzzy inference is one of the powerful tools to incorporate linguistic rules into computational algorithms for application to process control.
H, Honda, T, Kobayashi
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Controllability of Fuzzy Control Systems
IEEE Transactions on Systems, Man, and Cybernetics, 1986Controllability properties of fuzzy dynamic systems are presented using graph representation. The indices of stability and controllability are introduced. A necessary condition for controllability is formulated. An algorithm for finding acceptable controls, based on a Lyapunov-like approach, is presented. A numerical example is given.
Gupta, Madan M. +2 more
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Fuzzy-PID controllers vs. fuzzy-PI controllers
Proceedings of IEEE 5th International Fuzzy Systems, 2002The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, fuzzy control
M. Santos, S. Dormido, J.M. de la Cruz
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